Articles: checklist.
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Neurol. Med. Chir. (Tokyo) · Aug 2020
Seven-point Checklist: Have You Prepared Sufficiently for the COVID-19 Crisis in Your Neurosurgery Department?
Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by severe acute respiratory syndrome coronavirus 2. COVID-19 was initially detected in Wuhan, China, in late 2019, and has now rapidly spread worldwide. ⋯ We have summarized perspectives of the articles published on COVID-19, as well as the suggestions from neurosurgical societies in highly infected regions. We have proposed a seven-point checklist for neurosurgery departments: (1) networking among medical institutions; (2) coordinating teams within each institution; (3) prevention of infection within the department; (4) perioperative management; (5) triage; (6) changing subspecialty management protocols; and (7) psychological support for medical staff and patients.
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J Am Assoc Nurse Pract · Aug 2020
ReviewEducation initiatives in cognitive debiasing to improve diagnostic accuracy in student providers: A scoping review.
The high prevalence of diagnostic errors by health care providers has prompted medical educators to examine cognitive biases and debiasing strategies in an effort to prevent these errors. The National Academy of Medicine hypothesized that explicit diagnostic reasoning education of all health care professionals can improve diagnostic accuracy. ⋯ There are myriad debiasing strategies student providers may use to mitigate cognitive bias. Structured reflection and education initiatives demonstrated the most consistent improvements in diagnostic accuracy. Future studies on debiasing strategies must include NP students to understand their response to these initiatives.
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Novel coronavirus disease (COVID-19) emerged in Wuhan in December 2019, has spread in many countries affected people globally. In response to the economic requirement of the nation and meet the need of patient's, a momentous event was going back to work step by step as fighting against COVID-19. ⋯ We used checklists based on our experiences on COVID-19 control and reality of clinical work from February to March in the West China Hospital, involving events of screening patient, chaperonage, and healthcare workers. Checklist summarized the actual clinical nursing work and management practices, hope to provide a reference for the order of surgery during the epidemic prevention and control, and standardize the clinical nursing work of surgery during pandemic.
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Comment Review
Theory and practical use of Bayesian methods in interpreting clinical trial data: a narrative review.
The critical reading of scientific articles is necessary for the daily practice of evidence-based medicine. Rigorous comprehension of statistical methods is essential, as reflected by the extensive use of statistics in the biomedical literature. In contrast to the customary frequentist approach, which never uses or gives the probability of a hypothesis, Bayesian theory uses probabilities for both hypotheses and data. ⋯ The aim of this review is to compare general Bayesian concepts with frequentist methods to facilitate a better understanding of Bayesian theory for readers who are not familiar with this approach. The review is intended to be used in combination with a checklist we have devised for reading reports analysed by Bayesian methods. We compare and contrast the different approaches of Bayesian vs frequentist statistical methods by considering data from a clinical trial that lends itself to this comparative approach.
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In the context of an increasing number of publications of trial data analysed by Bayesian methods, clinicians need support to better understand Bayesian statistical methods. The existing checklists are intended for people who already know these methods. We aimed to establish and validate a checklist that contains a group of items considered crucial in interpreting the results of a phase III RCT analysed with Bayesian methods. ⋯ The checklist can help clinicians interpret the results of a phase III randomised clinical trial analysed by Bayesian methods, even clinicians with no particular knowledge of statistics, to ensure that the major elements of the statistical section are present and valid. Care should be taken in interpreting the results of a trial analysed by Bayesian methods that are not reported with these three essential items because the validity of the results cannot be established.